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Profiles and assesses critical data elements over stated populations

edu:LearningOutcome edu:Skill

https://knobit.org/id/outcome/QO-4

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dcterms:descriptionStage 4 of the data-quality skill: Profiles and assesses critical data elements over stated populations; produces 04-profiling/assessment.yaml. en
dcterms:identifierQO-4
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
has prerequisiteSelects critical data elements from the uses that depend on them
has prerequisiteDerives data quality rules from the data rules and the physical model
includes knobitExplains null semantics and three-valued logic
includes knobitExplains a pooled rate as the weighted mean of its population rates
includes knobitExplains segmented data quality reporting
includes knobitRecognises a null counted as missing where the element does not apply
includes knobitRecognises a profiling sample excluding the problem population
includes knobitRecognises a quality measurement labelled with a characteristic it does not test
includes knobitRecognises a placeholder value counted as present
includes knobitRecognises a quality ratio with no population, numerator or denominator
includes knobitRecognises one quality ratio over differing populations
includes knobitExplains the ISO/IEC 25012 data quality characteristics
includes knobitExplains data profiling methods
includes knobitExplains ISO/IEC 25024 data quality measures
owl:sameAshttps://bitbucket.org/reffa/ontology/id/outcome/data-quality/04-profiling-assessment
rdfs:labelProfiilib ja hindab kriitilisi andmeelemente kindlaksmääratud populatsioonides et
rdfs:labelProfiles and assesses critical data elements over stated populations en
related topicData quality (DAMA-DMBOK2 chapter 13)

Used by

assesses learning outcomeDeposit guarantee single customer view - profiling and assessment of critical data elements (profiling and assessment anomaly skills)
assesses learning outcomeDeposit mart data quality rules derived from the data rules and the Snowflake model (DQ rule derivation)
has prerequisiteTraces data quality failures to the process causes that produce them
has prerequisiteSets data quality service levels and a scorecard that cannot hide a failing critical element
includes learning outcomeLearning path: Data quality
related learning outcomeStage 4 — Profiling and assessment
related learning outcomeProfiling and assessment anomaly checklist
schema:itemhttps://knobit.org/id/path/data-quality/QO-4